Generative artificial intelligence has a paradoxical nature, which on the one hand brings innovative breakthroughs, and on the other hand brings with it a series of growing challenges. Processing of natural language, computer vision and generating creative content has been significantly changed and redefined, and therefore its darker background emerges through exploitation in cybercrime, which increases the complexity of protecting network systems and infrastructure. The paper explores the conflicting characteristics of generative artificial intelligence in the field of cybersecurity, focusing on the troubling issues it creates. With the advancement of generative artificial intelligence, powerful tools have been discovered to orchestrate new types of cyberattacks, and such attacks threaten not only the confidentiality and integrity of data, but also pose significant threats to business viability and national security. The research conducts a thorough analysis of the literature to explore the role of generative artificial intelligence in these attacks, highlighting its dual function as an enabler of technological progress and a facilitator of cyber risk. An in-depth examination of the vulnerabilities present in network systems and applications that are particularly vulnerable to generative attacks driven by artificial intelligence are sought to be addressed in the paper. Additionally, it assesses future defense methods and technological breakthroughs with the potential to reduce the dangers associated with generative artificial intelligence in the digital world, and aims to provide a special perspective on the dynamic interaction between generative artificial intelligence and cybersecurity issues by analyzing and studying previous research and emphasizing the need to create strong and effective solutions.